new faceswapper

app.py

@@ -15,14 +15,14 @@ import numpy
 API_KEY = os.getenv('BASETEN_API_KEY')
 API_url = os.getenv('BASETEN_COMFY_MODEL_URL')
 
-def call_api_and_generate_image(negative_prompt, positive_prompt,seed, source_image):
+def call_api_and_generate_image(negative_prompt, positive_prompt,seed,source_image_base64):
     if not API_KEY:
         return None, "Error: API key not found in environment variables. Please set BASETEN_API_KEY."
 
     # Convert the source image to base64
-    buffered = io.BytesIO()
-    source_image.save(buffered, format="PNG")
-    img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
+    #buffered = io.BytesIO()
+    #source_image.save(buffered, format="PNG")
+    #img_str = base64.b64encode(buffered.getvalue()).decode('utf-8')
 
     resp = requests.post(
         API_url,
@@ -32,41 +32,46 @@ def call_api_and_generate_image(negative_prompt, positive_prompt,seed, source_im
                 'negative_prompt': negative_prompt,
                 'positive_prompt': positive_prompt,
                 'seed': seed,
-                'source_image': img_str
+                'source_image_fs': source_image_base64
             }
         }
     )
     
     result = resp.json()
+    print(result)
     base64_data = result['result'][0]['data']
     image_data = base64.b64decode(base64_data)
     image = Image.open(io.BytesIO(image_data))
-    return image, json.dumps(result, indent=2)
+    return image#, json.dumps(result, indent=2)
 
 def generate_image(positive_prompt, negative_prompt,source_image):
     seed = numpy.random.randint(0, 2**32 - 1)
+    source_image_base64 = None
+    if source_image is not None:
+        with open(source_image, "rb") as image_file:
+            source_image_base64 = base64.b64encode(image_file.read()).decode('utf-8')
     try:
-        return call_api_and_generate_image(negative_prompt, positive_prompt,seed,source_image)
+        return call_api_and_generate_image(negative_prompt, positive_prompt,seed,source_image_base64)
     except Exception as e:
-        return None, f"Error: {str(e)}"
+        return None#, f"Error: {str(e)}"
 
 def clear_fields():
-    return "", "", None,""  # Clear prompt and outputs
+    return "", "", None  # Clear prompt and outputs
 
 with gr.Blocks(theme='freddyaboulton/test-blue') as demo:
-    gr.Markdown("<center><h2>Arjun's Image Generator</h2></center>")
-    gr.Markdown("Hi there! I'm an AI assistant tasked with generating images.")
-    prompt = gr.Textbox(label='Positve Prompt', lines=2, max_lines=5, placeholder = 'Describe your image here.')
-    neg_prompt = gr.Textbox(label='Negative Prompt', lines=2, max_lines=10, value="Low quality, pixelated")
-    source_image = gr.Image(label='Source Image for Face Swap', type="pil")
+    gr.Markdown("<center><h2>Arjun's Face Swapper</h2></center>")
+    gr.Markdown("Hi there! Specify a man/woman in any setting below and upload your image to see yourself in that setting!")
+    prompt = gr.Textbox(label='Positve Prompt', lines=2, max_lines=5, placeholder = 'Describe your image here, for e.g., superman flying in the sky')
+    neg_prompt = gr.Textbox(label='Negative Prompt', lines=2, max_lines=10, value="Low quality, pixelated, poor anatomy, bad fingers")
+    source_image = gr.Image(label='Source Image for Face Swap', type="filepath")
     with gr.Group():
         with gr.Row():
                 submit_btn = gr.Button(value="Submit", elem_id="generate_button", variant="primary", size="sm")
                 clear_btn = gr.ClearButton(value="Clear Question and AI Response", elem_id="clear_button", variant="secondary", size="sm")
         gr.Markdown("<center><h3>AI Response</h3></center>")
         image_output_box = gr.Image(type="pil", label="Final Generated Image")
-        json_output = gr.Textbox(label="API Response JSON", lines=10)
-    submit_btn.click(fn=generate_image, inputs = [prompt,neg_prompt,source_image], outputs=[image_output_box,json_output])
-    clear_btn.click(fn=clear_fields,outputs=[prompt,neg_prompt,image_output_box,json_output])
+        #json_output = gr.Textbox(label="API Response JSON", lines=10)
+    submit_btn.click(fn=generate_image, inputs = [prompt,neg_prompt,source_image], outputs=[image_output_box])
+    clear_btn.click(fn=clear_fields,outputs=[prompt,neg_prompt,image_output_box])
 
 demo.launch()